This new compendium of recent advances in the use of modern technology and management concepts-- from distributed virtual manufacturing enterprises to integrating green technology in a cost-effective manner to materials and energy savingswill offer engineers and technical managers the needed insight to plan for future growth and success. Greater utilization and availability of resources in the workplace are directly related to better design and better engineering in the manufacturing economy. The book will explore how energy-efficient smart materials and structures hold tremendous potential for realizing cost savings and improving energy use in the modern industrial workplace. It will also show how industrial engineers have developed a variety of analytical and computer-based tools and technologies for planning, forecasting and scheduling resources including time, labor, and more recently, energy. Readers will also find: -- New trends in "i-Manufacturing" -- Finding optimal ways to distribute goods and services -- Human Resources Management in the context of efficient manufacturing -- Resources Planning, Forecasting and Scheduling -- Distribution, Logistics and Supply Chain Optimization -- Green Design and Manufacturing.
Top experts specializing in hospitality management have contributed articles to this new collection which explains recent developments in accounting and finance. The material is drawn from a combination of fieldwork and practical experience. The managerial emphasis means that the content is fully relevant internationally and not constrained by the legal framework of different countries. Accounting and Finance provides an overview of: *analysis and evaluation of performance *planning methods and techniques *financial information and control *financial management. It also shows how operational analysis can be used as a management tool to improve performance. Techniques for predicting the financial success or failure of hotels are suggested. Research into hotel companies in the US and Europe demonstrates key performance indicators used by hotel managers and financial executives. Other contributors explore the interface between accounting and marketing and human resource management and there is thorough coverage of financial strategy formulation. Readers will also find helpful the section on statistics in the analysis and prediction of cost behaviour in hotels. Contributors: Raymond Schmidgall (Michigan State University, USA); Debra J. Adams (Bournemouth University, UK); Professor Elisa S. Moncarz (Florida International University, USA); Richard N. Kron (Kron Hospitality Consulting, USA); Angela Maher (Oxford Brookes University, UK); Peter J. Harris (Oxford Brookes University, UK); Geoff S. Parkinson (BDO Stoy Hayward Chartered Accountants, UK); Paul Fitz-John (Bournemouth University, UK); Paul Collier (University of Exeter, UK); Professor Alan Gregory (University of Glasgow, UK); Tracy A. Jones (Cheltenham and Gloucester College of Higher Education, UK); Jacqueline Brander Brown (The Manchester Metropolitan University, UK); Nina J. Downie (Oxford Brookes University, UK): Catherine L. Burgess (Oxford Brookes University, UK); Ian C. Graham (Holiday Inn Worldwide, Belgium); Howard M. Field (International Hotel and Leisure Associates, UK); Professor Paul Beals (Canisius College, USA); Frank J. Coston (Pannell Kerr Forster Associates, UK).
Artificial Intelligence (AI) technologies enable manufacturing systems to sense the environment, adapt to external needs, and extract process knowledge, including business models such as intelligent production, networked collaboration, and extended service models. This book therefore focuses on the implementation of AI in customized manufacturing (CM). The main topics include edge intelligence in manufacturing, heterogeneous networks, intelligent fault diagnosis and maintenance, dynamic resource scheduling in manufacturing, and the construction mode of the smart factory. Based on the insights of CM and AI, the authors demonstrate the implementation of AI in the smart factory for CM, including architecture, information fusion, data analysis, dynamic scheduling, flexible production line construction, and smart manufacturing services. This book will provide important research content for scholars in artificial intelligence, smart manufacturing, machine learning, multi-agent systems, and industrial Internet of Things.
Industrial Management has been specifically written and designed for BTech students with special emphasis on Gautam Buddh Technical University (GBTU) and Mahamaya Technical University (MMTU). The book addresses the core theories of industrial management to help students apply their knowledge in future managerial decision making. The presentation of this book has been kept simple and lucid so that theories and their possible applications are easily comprehensible to the students. Adequate industry examples make this an enjoyable read.
Sustainable manufacturing is a key component in the engineering industry, helping to decrease emissions, costs, and energy use. Through examining how to successfully implement sustainability within Industry 4.0, Sustainable Manufacturing: An Emergence in Industry 4.0 covers recent innovations in topics, including circular economy, supply chains, waste elimination, and recycling. This edited collection is a cutting-edge assessment of the barriers preventing the implementation of sustainable manufacturing in industry. Highlighting basic definitions and terminologies within sustainability and manufacturing, this book covers topics that include interactive design, remanufacturing, cleaner production, and optimization. It also features modern technologies currently revolutionizing the industry, such as robotics and 3D printing. Using case studies to illustrate success stories in which products have been created using sustainable processes, this book also includes technical notes and experimental results from a wide variety of international contributors. This book is relevant to anyone working in the mechanical engineering, manufacturing and industrial engineering, and materials science industries.
An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin—an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system’s behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI’s capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.
Within the overarching theme of “Managing the Digital Transformation of Construction Industry” the 23rd International Conference on Construction Applications of Virtual Reality (CONVR 2023) presented 123 high-quality contributions on the topics of: Virtual and Augmented Reality (VR/AR), Building Information Modeling (BIM), Simulation and Automation, Computer Vision, Data Science, Artificial Intelligence, Linked Data, Semantic Web, Blockchain, Digital Twins, Health & Safety and Construction site management, Green buildings, Occupant-centric design and operation, Internet of Everything. The editors trust that this publication can stimulate and inspire academics, scholars and industry experts in the field, driving innovation, growth and global collaboration among researchers and stakeholders.
This book defines an agenda for research in information management and systems for media and entertainment industries. It highlights their particular needs in production, distribution, and consumption. Chapters are written by practitioners and researchers from around the world, who examine business information management and systems in the larger context of media and entertainment industries. Human, management, technological, and content creation aspects are covered in order to provide a unique viewpoint. With great interdisciplinary scope, the book provides a roadmap of research challenges and a structured approach for future development across areas such as social media, eCommerce, and eBusiness. Chapters address the tremendous challenges in organization, leadership, customer behavior, and technology that face the entertainment and media industries every day, including the transformation of the analog media world into its digital counterpart. Professionals or researchers involved with IT systems management, information policies, technology development or content creation will find this book an essential resource. It is also a valuable tool for academics or advanced-level students studying digital media or information systems.
